Evolving Networks To Have Intelligence Realized At Nanoscale

Celestine Preetham Lawrence

doi:10.3990/1.9789036545471

Evolving Networks To Have Intelligence Realized At Nanoscale

Celestine Preetham Lawrence

Research output: Thesis › PhD Thesis - Research UT, graduation UT

575 Downloads (Pure)

Abstract

In this thesis, we have made the following progress.
Introducing ‘neuroevolution in nanomaterio’ as a method to reach ultimate physical limits of computing. A mathematically compact treatment of SET networks that enables analytical computation of stability diagrams. A novel mean-field approximation to simulate large scale SET networks. Illustrative simulations that show the rich physics of SET networks that are exploitable for logic, memory and pattern recognition. The first experimental demonstration of Boolean logic functionality in a disordered system at the nanoscale. Conception of the NP internet architecture for neuroevolution, and an illustration of it implementing classification of binary images. A definition of intelligence and an IQ metric, demonstrating its applicability on a nanomaterial cluster of dopant atoms.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Twente
Supervisors/Advisors	van der Wiel, Wilfred G., Supervisor Broersma, Hajo, Supervisor
Award date	16 May 2018
Place of Publication	Enschede
Publisher	University of Twente
Print ISBNs	978-90-365-4547-1
DOIs	https://doi.org/10.3990/1.9789036545471
Publication status	Published - 16 May 2018

Access to Document

10.3990/1.9789036545471Licence: Unspecified

Thesis C.P. LawrenceFinal published version, 5.65 MBLicence: Unspecified

Cite this

@phdthesis{c9517808948d41ee85ab814e4fd9cbb3,

title = "Evolving Networks To Have Intelligence Realized At Nanoscale",

abstract = "In this thesis, we have made the following progress.Introducing {\textquoteleft}neuroevolution in nanomaterio{\textquoteright} as a method to reach ultimate physical limits of computing. A mathematically compact treatment of SET networks that enables analytical computation of stability diagrams. A novel mean-field approximation to simulate large scale SET networks. Illustrative simulations that show the rich physics of SET networks that are exploitable for logic, memory and pattern recognition. The first experimental demonstration of Boolean logic functionality in a disordered system at the nanoscale. Conception of the NP internet architecture for neuroevolution, and an illustration of it implementing classification of binary images. A definition of intelligence and an IQ metric, demonstrating its applicability on a nanomaterial cluster of dopant atoms.",

author = "Lawrence, {Celestine Preetham}",

note = "We acknowledge financial support from the MESA+ Institute for Nanotechnology and the CTIT Institute for ICT research, as well as the European Community{\textquoteright}s Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 317662.",

year = "2018",

month = may,

day = "16",

doi = "10.3990/1.9789036545471",

language = "English",

isbn = "978-90-365-4547-1",

series = "IDS Ph.D. Thesis Series",

publisher = "University of Twente",

number = "18-464",

address = "Netherlands",

type = "PhD Thesis - Research UT, graduation UT",

school = "University of Twente",

}

TY - THES

T1 - Evolving Networks To Have Intelligence Realized At Nanoscale

AU - Lawrence, Celestine Preetham

N1 - We acknowledge financial support from the MESA+ Institute for Nanotechnology and the CTIT Institute for ICT research, as well as the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 317662.

PY - 2018/5/16

Y1 - 2018/5/16

N2 - In this thesis, we have made the following progress.Introducing ‘neuroevolution in nanomaterio’ as a method to reach ultimate physical limits of computing. A mathematically compact treatment of SET networks that enables analytical computation of stability diagrams. A novel mean-field approximation to simulate large scale SET networks. Illustrative simulations that show the rich physics of SET networks that are exploitable for logic, memory and pattern recognition. The first experimental demonstration of Boolean logic functionality in a disordered system at the nanoscale. Conception of the NP internet architecture for neuroevolution, and an illustration of it implementing classification of binary images. A definition of intelligence and an IQ metric, demonstrating its applicability on a nanomaterial cluster of dopant atoms.

AB - In this thesis, we have made the following progress.Introducing ‘neuroevolution in nanomaterio’ as a method to reach ultimate physical limits of computing. A mathematically compact treatment of SET networks that enables analytical computation of stability diagrams. A novel mean-field approximation to simulate large scale SET networks. Illustrative simulations that show the rich physics of SET networks that are exploitable for logic, memory and pattern recognition. The first experimental demonstration of Boolean logic functionality in a disordered system at the nanoscale. Conception of the NP internet architecture for neuroevolution, and an illustration of it implementing classification of binary images. A definition of intelligence and an IQ metric, demonstrating its applicability on a nanomaterial cluster of dopant atoms.

U2 - 10.3990/1.9789036545471

DO - 10.3990/1.9789036545471

M3 - PhD Thesis - Research UT, graduation UT

SN - 978-90-365-4547-1

T3 - IDS Ph.D. Thesis Series

PB - University of Twente

CY - Enschede

ER -

Evolving Networks To Have Intelligence Realized At Nanoscale

Abstract

Access to Document

Fingerprint

Cite this